no code implementations • 24 Mar 2021 • Garry Kuwanto, Afra Feyza Akyürek, Isidora Chara Tourni, Siyang Li, Alexander Gregory Jones, Derry Wijaya
We conduct an empirical study of neural machine translation (NMT) for truly low-resource languages, and propose a training curriculum fit for cases when both parallel training data and compute resource are lacking, reflecting the reality of most of the world's languages and the researchers working on these languages.